| Literature DB >> 31649631 |
Dinesh Mondal1, Prakash Ghosh1, Rajashree Chowdhury1, Christine Halleux2, Jose A Ruiz-Postigo3, Abdul Alim1, Faria Hossain1, Md Anik Ashfaq Khan1, Rupen Nath1, Malcolm S Duthie4, Axel Kroeger5, Greg Matlashewski6, Daniel Argaw3, Piero Olliaro2,7.
Abstract
INTRODUCTION: To sustain the achievement of kala-azar elimination program (KEP), early detection and treatment of the visceral leishmaniasis (VL) cases and associated modalities such as treatment failure (TF), relapse VL (RVL), and Post-kala-azar dermal leishmaniasis (PKDL) is the cornerstone. A predictive biomarker for VL development and related complications could also play a crucial role in curtailing disease incidence and transmission. Investigations to find a biomarker with prospective capabilities are, however, scarce. Using samples and known clinical outcomes generated within two previous longitudinal cohort studies, we aimed to determine if fluctuations in serum anti-rK39 antibody levels could provide such predictive value.Entities:
Keywords: ELISA; Post-kala-azar dermal leishmaniasis (PKDL); predictive biomarker; rK39 antibody; relapse VL (RVL); treatment failure (TF); visceral leishmaniasis (VL)
Year: 2019 PMID: 31649631 PMCID: PMC6795025 DOI: 10.3389/fmicb.2019.02268
Source DB: PubMed Journal: Front Microbiol ISSN: 1664-302X Impact factor: 5.640
FIGURE 1Flow chart for selection of study subjects from asymptomatic and VL cohorts.
Population characteristics of asymptomatic participants with rK39-positive and VL patients.
| Asymptomatic | with subsequent VL (16) | 44 (7) | 14.78 (8.13–21.44) | 15.70 (14.34–17.05) | 12.53 (11.26–13.80) |
| without subsequent VL (15) | 47 (7) | 15.94 (14.34–17.05) | 15.94 (14.40–17.47) | 12.80 (11.57–14.11) | |
| 0.56 | 0.90 | 0.80 | 0.71 | ||
| VL patients | Treatment failure (7) | 14.3 (1) | 114.9 (5.0–224.7) | 13.6 (11.9–15.3) | 7.8# (6.5–9.1) |
| VL relapse (10) | 50.0 (5) | 169.2 (74.1–264.3) | 14.1 (11.6–16.5) | 10.1 (8.8–11.4) | |
| Post-kala-azar Dermal Leishmaniasis (32) | 37.5 (12) | 247.1 (184.3–309.9) | 15.3 (14.2–16.3) | 9.3 (8.7–10.0) | |
| VL control (38) | 34.2 (13) | 231.5 (175.9–287.1) | 15.2 (14.4–16.0) | 10.1# (9.5–10.6) | |
| 0.49 | 0.21 | 0.16 | 0.82 |
Risks for VL, TF, VLR, and PKDL.
| Infected asymptomatic | A | |||||
| Develop clinical VL | V | P (V¦A)24 | 16 | 196 | 8.2 | 4.3–12 |
| Do not develop VL | ∼V | P (∼V¦A)24 | 180 | 196 | 91.8 | 88–95.7 |
| VL case treated | Vt | |||||
| Fail treatment | F | P (F¦Vt)60 | 7 | 296 | 2.4 | 0.6–4.1 |
| Relapse post-treatment | R | P (R¦Vt)60 | 10 | 296 | 3.4 | 1.3–5.4 |
| Develop PKDL | D | P (D¦Vt)60 | 32 | 296 | 10.8 | 7.3–14.3 |
| Definitive cure | ∼V | P (∼V¦Vt)60 | 247 | 296 | 83.4 | 79.2–87.7 |
FIGURE 2Comparison of serum rK39 titers between asymptomatic with and without VL at baseline, 12, 18, and 24 months.
FIGURE 3Receiver operating characteristic curve for cutoff of rK39 AB titer for prediction of asymptomatic at risk for VL within subsequent 24 months.
Comparison of mean serum rK39AB titer (95% CI) different groups at different time points.
| Baseline | 399,461@ (306,173–492,749) | 878,968# (666,143–1,091,794) | 1,558,044 (1,497,948–1,618,139) | 1,456,777 (1,323,891–1,589,664) |
| Day 30 | 294,483@ (154,558–434,408) | 1,103,701& (879,257–1,328,145) | 1,516,932 (1,433,444–1,600,421) | 1,400,044 (1,250,620–1,549,467) |
| Day 180 | 426,072@ (319,139–533,006) | 1,256,668 (858,581–1,654,754) | 1,299,201 (1,129,658–1,468,745) | 1,039,447 (853,583–1,225,312) |
| Day 365 | 619,544@@ (224,207–1,014,880) | 1,516,307 (1,370,435–1,662,180) | 1,370,186∗∗ (1,205,538–1,534,834) | 935,618 (777,604–1,093,632) |
FIGURE 4Receiver operating characteristic for prediction of VL patients with subsequent treatment failure.
FIGURE 5Dynamics of serum rK39AB titer of TF, VLR, PKDL, and VL controls.
FIGURE 6Receiver operating characteristic curve for cutoff of rK39 AB titer at 365 day since treatment for prediction of cured VL at risk for PKDL within subsequent 24 months.